Item Attribute Based Data Mining System

1. A method for item recommendation based on item attribute-value tuples that are frequent to user transactions, comprising: obtaining item acquisition data indicating a plurality of transactions associated with a set of users, wherein individual transactions include one or more items acquired by a corresponding user; incorporating item attribute-values into the item acquisition data, wherein individual items are associated with one or more item attribute-values; identifying a set of attribute-value tuples, wherein individual attribute-value tuples of the set of attribute-value tuples include two or more item attribute-values that co-occur in individual transactions of a subset of the plurality of transactions; associating user interest measures with individual attribute-value tuples of the set of attribute-value tuples, wherein associating user interest measures with individual attribute-value tuples comprises generating a user interest measure for the attribute-value tuple based, at least in part, on one or more user ratings of an item corresponding to the attribute-value tuple; identifying a first attribute-value tuple from the set of attribute-value tuples for a target user based, at least in part, on the user interest measures; causing presentation, to the target user, of a first recommendation based, at least in part, on the first attribute-value tuple; obtaining, from the target user, an indication of a modification to the first attribute-value tuple; identifying items corresponding to the modified first attribute-value tuple; and causing presentation, to the target user, of a second recommendation based, at least in part, on the items corresponding to the modified first attribute-value tuple; the method performed programmatically by one or more computing systems under control of executable program code.

2. The method of claim 1 , wherein individual items include a product or service represented in an electronic catalog system.

3. The method of claim 1 , wherein one or more items acquired by a corresponding user correspond to one or more items purchased, rented, licensed, downloaded, installed, added to a wish list, saved, tagged, recommended, or subscribed to by the corresponding user.

4. The method of claim 1 , wherein individual item attribute-values represent a generalization or categorization of an aspect of a corresponding item.

5. The method of claim 1 , wherein at least two transactions of the subset of transactions are associated with different users.

6. The method of claim 1 , wherein identifying a first attribute-value tuple for a target user comprises identifying an attribute-value tuple associated with a user interest measure in connection with the target user.

7. The method of claim 1 , wherein the presentation of the first recommendation includes presenting a user-interface representing the first attribute-value tuple.

8. The method of claim 7 , wherein the indication of modification to the first attribute-value tuple is obtained based, at least in part, on the target user's interaction with the user-interface.

9. The method of claim 1 , wherein the modification to the first attribute-value tuple includes changes to at least one attribute-value of the attribute-value tuple.

10. A system for item recommendation based on item attribute-value tuples that are frequent to user transactions, the system comprising: a computing system comprising one or more hardware processors, the computing system programmed with executable instructions to perform a process that comprises: obtaining item acquisition data indicating a plurality of transactions associated with a set of users, wherein individual transactions include one or more items acquired by a corresponding user; incorporating item attribute-values into the item acquisition data, wherein individual items are associated with one or more item attribute-values; identifying a set of attribute-value tuples, wherein individual attribute-value tuples of the set of attribute-value tuples include two or more item attribute-values that co-occur in individual transactions of a subset of the plurality of transactions; associating user interest measures with individual attribute-value tuples of the set of attribute-value tuples, wherein associating user interest measures with individual attribute-value tuples comprises generating a user interest measure for the attribute-value tuple based, at least in part, on one or more user ratings of an item corresponding to the attribute-value tuple; identifying a first attribute-value tuple from the set of attribute-value tuples for a target user based, at least in part, on the user interest measures; causing presentation, to the target user, of a first recommendation based, at least in part, on the first attribute-value tuple; obtaining, from the target user, an indication of a modification to the first attribute-value tuple; identifying items corresponding to the modified first attribute-value tuple; and causing presentation, to the target user, of a second recommendation based, at least in part, on the items corresponding to the modified first attribute-value tuple.

11. The system of claim 10 , wherein individual items include a product or service represented in an electronic catalog system.

12. The system of claim 10 , wherein one or more items acquired by a corresponding user correspond to one or more items purchased, rented, licensed, downloaded, installed, added to a wish list, saved, tagged, recommended, or subscribed to by the corresponding user.

13. The system of claim 10 , wherein individual item attribute-values represent a generalization or categorization of an aspect of a corresponding item.

14. The system of claim 10 , wherein at least two transactions of the subset of transactions are associated with different users.

15. The system of claim 10 , wherein identifying a first attribute-value tuple for a target user comprises identifying an attribute-value tuple associated with a user interest measure in connection with the target user.

16. The system of claim 10 , wherein the presentation of the first recommendation includes presenting a user-interface representing the first attribute-value tuple.

17. The system of claim 16 , wherein the indication of modification to the first attribute-value tuple is obtained based, at least in part, on the target user's interaction with the user-interface.

18. The system of claim 10 , wherein the modification to the first attribute-value tuple includes changes to at least one attribute-value of the attribute-value tuple.